| license: apache-2.0 | |
| pipeline_tag: image-text-to-text | |
| moondream2 is a small vision language model designed to run efficiently on edge devices. Check out the [GitHub repository](https://github.com/vikhyat/moondream) for details, or try it out on the [Hugging Face Space](https://huggingface.co./spaces/vikhyatk/moondream2)! | |
| **Benchmarks** | |
| | Release | VQAv2 | GQA | TextVQA | POPE | TallyQA | | |
| | --- | --- | --- | --- | --- | --- | | |
| | 2024-03-04 | 74.2 | 58.5 | 36.4 | - | - | | |
| | **2024-03-06** (latest) | 75.4 | 59.8 | 43.1 | (coming soon) | (coming soon) | | |
| **Usage** | |
| ```bash | |
| pip install transformers timm einops | |
| ``` | |
| ```python | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| from PIL import Image | |
| model_id = "vikhyatk/moondream2" | |
| revision = "2024-03-06" | |
| model = AutoModelForCausalLM.from_pretrained( | |
| model_id, trust_remote_code=True, revision=revision | |
| ) | |
| tokenizer = AutoTokenizer.from_pretrained(model_id, revision=revision) | |
| image = Image.open('<IMAGE_PATH>') | |
| enc_image = model.encode_image(image) | |
| print(model.answer_question(enc_image, "Describe this image.", tokenizer)) | |
| ``` | |
| The model is updated regularly, so we recommend pinning the model version to a | |
| specific release as shown above. |